Data envelopment analysis (DEA) is a mathematical optimization technique that measures the relative efficiency of decision making units (DMUs) with multiple input–output. In traditional DEA models, the data of different DMUs are assumed to be measured by precise values. But, in many real...

Data Envelopment Analysis (DEA) is a non-parametric method for measuring the relative efficiency of a set of Decision Making Units (DMUs) using multiple precise inputs to produce multiple precise outputs. Several extensions to DEA have been made for the case of imprecise data, as well as to...

The problem of aggregating individual rankings to create an overall consensus ranking representative of the group is of longstanding interest in group decision making. The problem arises in situations where a group of k Decision Makers (DMs) are asked to rank order n alternatives. The question...

In this study, we propose a three-stage weighted sum method for identifying the group ranks of alternatives. In the first stage, a rank matrix, similar to the cross-efficiency matrix, is obtained by computing the individual rank position of each alternative based on importance weights. In the...

In many developed countries, today's socioeconomic environment has expanded the role of the technical manager. Organizations capable of recruiting technical managers with adequate management education and interpersonal skills, in addition to technical expertise, are more likely to be successful...

Ordinal consensus ranking problems have received much attention in the management science literature. A problem arises in situations where a group of k decision makers (DMs) is asked to rank order n alternatives. The question is how to combine the DM rankings into one consensus ranking. Several...